A Preconception Gender Assessment Using Data Mining Techniques Based On Implementation Of Natural Laws & Favoring Factors

Healthcare field(1) is vital organization of our society as it directly affects the living being A balanced society is the need of the hour that we can achieve by a balanced family structure. In all over the world especially in Asia and Africa, couples show a preference for a particular gender of child, either male or female (1). This preference may be the result of economic, social pressure, custom of the people or it may simply be due to the reason of "Gender balanced family" (2). A lot of research in medical field is present which shows how to achieve the goal of getting a child of desired gender in a way that is more natural. Similarly, in this era of advanced technology data mining techniques are becoming more and more popular in medical field. In this paper, we analyzed different research methods in medical field based on Natural Laws & Favoring Factors, extracted different macroscopic factors affecting directly the possible gender of offspring in the womb of the mother before conception and generated our dataset using these macroscopic factors. Then we applied different Data mining classification techniques on our dataset to classify the possible gender as male or female.